ImageNet-1K

D$^3$CL, a parameter-efficient adaptation framework for pretrained diffusion models, achieves 80.1% linear-probing accuracy on ImageNet-1K and an FID of 5.56 for unconditional generation by coupling c…

Researchers propose LEAP, a training curriculum for Vision Transformer feature-based knowledge distillation that uses the teacher's intermediate feature maps as progressively difficult targets. LEAP a…

Researchers introduced the Integral Transform Network (ITNet), a unified architecture that subsumes convolution, attention, and recurrence as special cases of a learnable integral transform. ITNet mat…